Machine learning in sports : identifying potential archers
著者
書誌事項
Machine learning in sports : identifying potential archers
（Springer briefs in applied sciences and technology）
Springer, c2019
- : [pbk.]
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注記
Other authors: Zahari Taha, Anwar P. P. Abdul Majeed and Mohamad Razali Abdullah
Includes bibliographical references
内容説明・目次
内容説明
This brief highlights the association of different performance variables that influences archery performance and the employment of different machine learning algorithms in the identification of potential archers. The sport of archery is often associated with a myriad of performance indicators namely bio-physiological, psychological, anthropometric as well as physical fitness. Traditionally, the determination of potential archers is carried out by means of conventional statistical techniques. Nonetheless, such methods often fall short in associating non-linear relationships between the variables. This book explores the notion of machine learning that is capable of mitigating the aforesaid issue. This book is valuable for coaches and managers in identifying potential archers during talent identification programs.
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